1
Heavy-Tailed Principal Component Analysis
重尾数据下PCA的经典方法失效？这篇论文提出了一种鲁棒主成分分析方法，突破二阶矩限制。
arXiv:2603.11308v3 Announce Type: replace Abstract: Principal Component Analysis (PCA) is a cornerstone of dimensionality reduction, yet its classical…
2
RPCASSM: Robust PCA State Space Model For Infrared Small Target Detection
融合鲁棒PCA与状态空间模型，为红外小目标检测提供全新高效方案。
arXiv:2606.01689v1 Announce Type: cross Abstract: The detection and segmentation of infrared small targets have important application significance in …
3
Unsupervised Unfolded rPCA (U2-rPCA): Deep Interpretable Clutter Filtering for Ultrasound Microvascular Imaging
将深度学习展开与鲁棒PCA结合，实现可解释的超声微血管图像杂波滤除，无监督且性能显著提升。
arXiv:2510.00660v2 Announce Type: replace Abstract: High-sensitivity clutter filtering is a fundamental step in ultrasound microvascular imaging. Sing…